---
license: mit
task_categories:
- text-classification
- table-question-answering
- zero-shot-classification
- feature-extraction
language:
- en
tags:
- crypto
- sentiment
- X
- twitter
- Twiiter
- Scraper
- Masa
size_categories:
- 1K<n<10K
---
# 🐦 X-Twitter Scraper: Real-Time Search and Data Extraction Tool

Search and scrape X-Twitter (formerly Twitter) for posts by keyword, account, or trending topics. This no-code tool makes it easy to generate real-time, LLM-ready datasets for any AI or content use case.

Get started with real-time scraping and structure tweet data instantly into clean JSON.

---

## 🚀 Key Features

- ⚡ **Real-Time Fetch** – Stream the latest tweets the moment they’re posted  
- 🎯 **Flexible Search** – Filter by keywords, hashtags, cashtags, accounts, or trending topics  
- 📈 **Engagement Metrics** – Pull tweet content with likes, replies, reposts & timestamps  
- 🧩 **LLM-Ready Output** – Output in clean JSON for agents, RAG, fine-tuning, or analytics  
- 💸 **Free Tier** – Up to 100 searches during beta; toggle up to 25 tweets per query  

---

## 🛠 How It Works

1. Open the Scraper Tool  
2. Enter your query – keyword, `#hashtag`, `@user`, or `$cashtag`  
3. Choose tweet count – up to 25 tweets per search  
4. Run the search – engine fetches fresh tweets in real time  
5. Export the results – copy or download JSON for use in any pipeline  

---

## 🔥 Popular Use Cases

- Sentiment and price prediction for crypto or stocks  
- Trend discovery & viral content tracking  
- News & political monitoring in real time  
- Creating LLM training datasets  
- Feeding live data to AI agents  
- ...and more!  

---

## 📂 Dataset Format

Each tweet is structured in LLM-friendly JSON with fields like:

- `username`  
- `tweet_id`  
- `content`  
- `likes`  
- `reposts`  
- `replies`  
- `timestamp`  
- `query_used`  

---

## 📎 License

**MIT License** – Free to use for research, development, and commercial projects during beta.

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## ✨ Try It Now

Start Searching & Scraping X-Twitter:  
👉 **[Launch Scraper Tool](https://bit.ly/4elJV2B)**